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首页> 外文期刊>Environmental Monitoring and Assessment >GEOSTATISTICAL ANALYSIS AS APPLIED TO TWO ENVIRONMENTAL RADIOMETRIC TIME SERIES
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GEOSTATISTICAL ANALYSIS AS APPLIED TO TWO ENVIRONMENTAL RADIOMETRIC TIME SERIES

机译：应用于两个环境辐射时间序列的地统计学分析

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This article details the results of an investigation into the application of geostatistical data analysis to two environmental radiometric time series. The data series employed consist of ~(99)Tc values for seaweed (Fucus vesiculosus) and seawater samples taken as part of a marine monitoring program conducted on the coast of northern Norway by the Norwegian Radiation Protection Authority. Geostatistical methods were selected in order to provide information on values of the variables at unsampled times and to investigate the temporal correlation exhibited by the data sets. This information is of use in the optimisation of future sampling schemes and for providing information on the temporal behaviour of the variables in question that may not be obtained during a cursory analysis. The results indicate a high degree of temporal correlation within the data sets, the correlation for the seawater and seaweed data being modelled with an exponential and linear function, respectively. The semi-variogram for the seawater data indicates a temporal range of correlation of approximately 395 days with no apparent random component to the overall variance structure and was described best by an exponential function. The temporal structure of the seaweed data was best modelled by a linear function with a small nugget component. Evidence of drift was present in both semi-variograms. Interpolation of the data sets using the fitted models and a simple kriging procedure were compared, using a cross-validation procedure, with simple linear interpolation. Results of this exercise indicate that, for the seawater data, the kriging procedure outperformed the simple interpolation with respect to error distribution and correlation of estimates with actual values. Using the unbounded linear model with the seaweed data produced estimates that were only marginally better than those produced by the simple interpolation.
机译：本文详细介绍了将地统计数据分析应用于两个环境辐射时间序列的调查结果。所使用的数据系列包括海藻（Fucus vesiculosus）的〜（99）Tc值和作为由挪威辐射防护局在挪威北部海岸进行的海洋监测计划的一部分而采集的海水样本。选择地统计方法是为了提供有关未采样时间的变量值的信息，并研究数据集所表现出的时间相关性。此信息可用于优化未来的采样方案，并提供有关可能在粗略分析过程中无法获得的有关变量的时间行为的信息。结果表明，数据集中存在高度的时间相关性，分别使用指数函数和线性函数对海水和海藻数据的相关性进行建模。海水数据的半方差图表明时间范围约为395天，与总体方差结构没有明显的随机成分，并且最好用指数函数来描述。海藻数据的时间结构最好通过具有小的金块成分的线性函数来建模。两个半变异函数均存在漂移的证据。使用拟合模型和简单线性插值，使用拟合模型比较了数据集的插值和简单的克里金法。该练习的结果表明，对于海水数据，在误差分布以及估计值与实际值的相关性方面，克里金法的效果优于简单插值法。将无边界线性模型与海藻数据一起使用时，所产生的估计值仅比简单插值所产生的估计值略高。

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